Giulia Menichetti

1.7k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Giulia Menichetti is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics. According to data from OpenAlex, Giulia Menichetti has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Public Health, Environmental and Occupational Health and 6 papers in Computational Theory and Mathematics. Recurrent topics in Giulia Menichetti's work include Nutritional Studies and Diet (9 papers), Bioinformatics and Genomic Networks (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Giulia Menichetti is often cited by papers focused on Nutritional Studies and Diet (9 papers), Bioinformatics and Genomic Networks (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Giulia Menichetti collaborates with scholars based in United States, Italy and United Kingdom. Giulia Menichetti's co-authors include Albert-Ĺaszló Barabási, Ginestra Bianconi, Joseph Loscalzo, Luca Dall’Asta, Daniel Remondini, Raúl J. Mondragón, Pietro Panzarasa, Dariush Mozaffarian, Christoph Rahmede and Gastone Castellani and has published in prestigious journals such as New England Journal of Medicine, Physical Review Letters and Nature Communications.

In The Last Decade

Giulia Menichetti

31 papers receiving 1.0k citations

Hit Papers

Machine learning prediction of the degree of food processing 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning prediction of the degree of food processing
    2023 85 citations Giulia Menichetti, Dariush Mozaffarian et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giulia Menichetti United States 15 347 270 188 150 119 33 1.0k
Shuping Li China 19 285 0.8× 67 0.2× 151 0.8× 31 0.2× 40 0.3× 83 1.2k
Fabien Jourdan France 20 751 2.2× 74 0.3× 41 0.2× 87 0.6× 32 0.3× 55 1.2k
Ramón Alonso‐Sanz Spain 18 229 0.7× 191 0.7× 75 0.4× 381 2.5× 92 0.8× 108 962
Brajesh Kumar Jha India 21 346 1.0× 40 0.1× 151 0.8× 60 0.4× 23 0.2× 101 1.3k
Rong Yuan China 25 265 0.8× 104 0.4× 880 4.7× 57 0.4× 279 2.3× 164 2.0k
Areejit Samal India 21 857 2.5× 82 0.3× 39 0.2× 496 3.3× 16 0.1× 82 1.7k
Yuan Lin China 14 410 1.2× 141 0.5× 19 0.1× 45 0.3× 61 0.5× 50 813
Yong Ye China 17 109 0.3× 51 0.2× 150 0.8× 26 0.2× 58 0.5× 80 995
Marcus J. Tindall United Kingdom 18 453 1.3× 49 0.2× 43 0.2× 86 0.6× 14 0.1× 48 988

Countries citing papers authored by Giulia Menichetti

Since Specialization
Citations

This map shows the geographic impact of Giulia Menichetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giulia Menichetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Menichetti more than expected).

Fields of papers citing papers by Giulia Menichetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Menichetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giulia Menichetti. The network helps show where Giulia Menichetti may publish in the future.

Co-authorship network of co-authors of Giulia Menichetti

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Menichetti. A scholar is included among the top collaborators of Giulia Menichetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Menichetti. Giulia Menichetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barabási, Albert-Ĺaszló, et al.. (2025). Prevalence of processed foods in major US grocery stores. Nature Food. 6(3). 296–308. 8 indexed citations
2.
Zhang, Dachuan, Meihui Liu, Hanlin Xu, et al.. (2025). Domain knowledge, just evaluation, and robust data standards are required to advance AI in food science. Trends in Food Science & Technology. 164. 105272–105272. 3 indexed citations
3.
Wang, Xu‐Wen, Yang Hu, Giulia Menichetti, et al.. (2023). Nutritional redundancy in the human diet and its application in phenotype association studies. Nature Communications. 14(1). 4316–4316. 8 indexed citations
4.
Menichetti, Giulia, et al.. (2023). Machine learning prediction of the degree of food processing. Nature Communications. 14(1). 2312–2312. 85 indexed citations breakdown →
5.
Erndt‐Marino, Josh, Meghan O’Hearn, & Giulia Menichetti. (2023). An integrative analytical framework to identify healthy, impactful, and equitable foods: a case study on 100% orange juice. International Journal of Food Sciences and Nutrition. 74(6). 668–684. 1 indexed citations
6.
Barbaresi, Alberto, et al.. (2022). Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need. Energies. 15(4). 1266–1266. 14 indexed citations
7.
Menichetti, Giulia & Albert-Ĺaszló Barabási. (2022). Nutrient concentrations in food display universal behaviour. Nature Food. 3(5). 375–382. 18 indexed citations
8.
Menichetti, Giulia, et al.. (2021). Node Centrality Measures Identify Relevant Structural MRI Features of Subjects with Autism. Brain Sciences. 11(4). 498–498. 4 indexed citations
9.
Menichetti, Giulia, et al.. (2020). A systematic comprehensive longitudinal evaluation of dietary factors associated with acute myocardial infarction and fatal coronary heart disease. Nature Communications. 11(1). 6074–6074. 36 indexed citations
10.
Menichetti, Giulia, et al.. (2020). soodimilanlouei/EWAS-NHS: v1.0.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Menichetti, Giulia, et al.. (2020). Exploring food contents in scientific literature with FoodMine. Scientific Reports. 10(1). 16191–16191. 20 indexed citations
12.
Barbaresi, Alberto, Giulia Menichetti, Enrica Santolini, Daniele Torreggiani, & Patrizia Tassinari. (2020). Two-Step Optimization of Envelope Design for the Reduction of Building Energy Demand. Building Simulation Conference proceedings. 16. 3055–3062. 3 indexed citations
13.
Barabási, Albert-Ĺaszló, Giulia Menichetti, & Joseph Loscalzo. (2019). The unmapped chemical complexity of our diet. Nature Food. 1(1). 33–37. 192 indexed citations
14.
Valle, Ítalo Faria do, Giulia Menichetti, Giorgia Simonetti, et al.. (2018). Network integration of multi-tumour omics data suggests novel targeting strategies. Nature Communications. 9(1). 4514–4514. 34 indexed citations
15.
Menichetti, Giulia, Ginestra Bianconi, Gastone Castellani, Enrico Giampieri, & Daniel Remondini. (2015). Multiscale characterization of ageing and cancer progression by a novel network entropy measure. Molecular BioSystems. 11(7). 1824–1831. 16 indexed citations
16.
Giampieri, Enrico, Daniel Remondini, Maria Giulia Bacalini, et al.. (2015). Statistical strategies and stochastic predictive models for the MARK-AGE data. Mechanisms of Ageing and Development. 151. 45–53. 3 indexed citations
17.
Menichetti, Giulia, Daniel Remondini, & Ginestra Bianconi. (2014). Correlations between weights and overlap in ensembles of weighted multiplex networks. Physical Review E. 90(6). 62817–62817. 26 indexed citations
18.
Menichetti, Giulia, Luca Dall’Asta, & Ginestra Bianconi. (2014). Network Controllability Is Determined by the Density of Low In-Degree and Out-Degree Nodes. Physical Review Letters. 113(7). 78701–78701. 109 indexed citations
19.
Menichetti, Giulia & Daniel Remondini. (2014). Entropy of a network ensemble: definitions and applications to genomic data.. PubMed. 107(1-2). 77–87. 4 indexed citations
20.
Menichetti, Giulia, Daniel Remondini, Pietro Panzarasa, Raúl J. Mondragón, & Ginestra Bianconi. (2014). Weighted Multiplex Networks. PLoS ONE. 9(6). e97857–e97857. 139 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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